ERC Starting Grant · 2017
Deconstructing pain with predictive models: from neural architecture to pain relief
Pain is a burden for millions of people in terms of suffering, as well as for society in terms of costs. While it is well established that the perception of pain is not necessarily related to the amount of sensory input, a mechanistic framework for this is still lacking at the neurobiological level, although it would be of utmost importance for inspiring new therapeutic approaches. In PredictingPain, I will provide such a framework by applying recent insights from computational neuroscience in the form of ‘predictive coding’ to pain. Predictive coding models assume that perception is an active process in which the brain is not just passively responding to sensory inputs, but is instead…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.